Patentable/Patents/US-11960979
US-11960979

Reinforcement learning for autonomous telecommunications networks

PublishedApril 16, 2024
Assigneenot available in USPTO data we have
Inventorsnot available in USPTO data we have
Technical Abstract

Systems and methods include steps of determining a state of a network based on telemetry data; determining a value of a reward associated with the state; determining an action to take on the network to bring the network to a next state that is expected to have a better than or equal to value of the reward; and causing the action to be implemented in the network. The steps can also include continuing the determining steps and the causing step.

Patent Claims
7 claims

Legal claims defining the scope of protection, as filed with the USPTO.

2

2. The non-transitory computer-readable medium of claim 1, wherein the determining the state and the updated state of the network are one or both also performed on demand.

3

3. The non-transitory computer-readable medium of claim 1, wherein the network is a packet network, and wherein the reward relates to any of throughput, latency, jitter, workload, dropped packets, and packet errors.

4

4. The non-transitory computer-readable medium of claim 1, wherein the action includes any of bandwidth changes, re-routing services, and hardware reassignment.

11

11. The method of claim 10, wherein the determining the state and the updated state of the network are one or both also performed on demand.

12

12. The method of claim 10, wherein the network is a packet network, and wherein the reward relates to any of throughput, latency, jitter, workload, dropped packets, and packet errors.

13

13. The method of claim 10, wherein the action includes any of bandwidth changes, re-routing services, and hardware reassignment.

17

17. The method of claim 10, wherein the reward is minimizing dropped packets or packet errors, and wherein the action includes any of i) increasing or decreasing bandwidth of one or more services, ii) re-routing the one or more services to less congested paths, and iii) no action.

Classification Codes (CPC)

Cooperative Patent Classification codes for this invention. Click any code to explore related patents in that topic.

Patent Metadata

Filing Date

September 9, 2021

Publication Date

April 16, 2024

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Cite as: Patentable. “Reinforcement learning for autonomous telecommunications networks” (US-11960979). https://patentable.app/patents/US-11960979

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